Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...

The FLAMGP AI Computing Engine is a new way to solve a problem: Artificial intelligence algorithms that dynamically ...

The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, ...

We propose a procedure associated with the idea of the E-M algorithm for model selection in the presence of missing data. The idea extends the concept of parameters to include both the model and the ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Training neural networks takes a lot of time, even with the fastest and costliest accelerators on the market. It’s maybe no surprise then that a number of startups are looking at how to speed up the ...

AI models outperform traditional rule-based systems in identifying high-risk patients by integrating diverse data sources and ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical equations can approximate the underlying physics of weather, tiny ...

In marketing materials and internal documents, national electronic health record vendor Epic Systems has touted the ability of its sepsis algorithm to crunch dozens of variables to detect the ...